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Qubit was acquired by Coveo.
Qubit

Qubit

Brief
Personalization & Customer Equbit.com

Qubit enabled enterprise e-commerce brands to deliver individualized customer experiences at scale using AI and behavioral data, increasing conversion rates and customer lifetime value.

Last updated May 11, 2026 by ATDb automated enrichment · Connections updated May 13, 2026

Founded
2010
HQ
London, England, United Kingdom
Connections
24

At a glance

Employees
201-500
Funding
$76M
Revenue
$20M-$50M
Stock
Not Publicly Traded
13integrations11competitors
AI-Powered PlatformMarketing Analytics

About

A recognized leader in AI-driven e-commerce personalization, particularly strong in fashion, retail, and travel verticals before its acquisition by Coveo.

Qubit was a leading personalization and customer experience platform founded in London in 2010 by four ex-Google engineers. The company built technology that combined behavioral data collection, machine learning, and real-time decisioning to help online retailers and e-commerce brands deliver highly personalized experiences to their customers. Qubit's platform enabled brands to understand individual customer intent and serve tailored product recommendations, content, and offers across digital touchpoints, driving measurable lifts in conversion rates and revenue per visitor.

Business model

SaaS

Target market

Enterprise

What they offer

  • Qubit Aura

    AI-powered product discovery and personalization engine that delivered individualized product recommendations and experiences in real time.

  • Qubit Pro

    Core personalization platform enabling A/B testing, segmentation, and experience management for e-commerce sites.

  • Visitor Cloud

    Behavioral data collection and customer data platform that unified visitor data to power personalization and analytics.

  • Social Proof

    Real-time social proof messaging tool that surfaced crowd-sourced signals like 'X people viewing this' to drive urgency and conversions.

  • Qubit Deep Learning

    Advanced machine learning layer that used deep learning models to predict individual customer intent and optimize experience delivery.

Key features

AI-powered product recommendationsReal-time behavioral data collectionCustomer segmentation and targetingA/B and multivariate testingSocial proof messagingPersonalized merchandisingDeep learning-based intent prediction1-to-1 personalization at scale

Use cases

Personalized product recommendations on e-commerce product pagesIndividualized homepage and category page merchandisingCart abandonment and re-engagement personalizationSocial proof and urgency messaging to boost conversionsLoyalty and VIP customer experience differentiationTravel upsell and cross-sell personalization

Customer segments

Enterprise e-commerce retailersFashion and apparel brandsLuxury goods retailersTravel and hospitality companiesBeauty and cosmetics brands

Tech & specs

Technology stack

Machine learning / deep learningJavaScript tag-based data collectionReal-time data processingCloud infrastructure (AWS)REST APIsBig data analytics

Security & compliance

GDPRCCPAISO 27001

Deployment

Cloud

API

Yes

Corporate history
  • 2010Founded
Connection details
See alternatives to Qubit See integrations with Qubit (13)

Explore further

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